Overview

Dataset statistics

Number of variables29
Number of observations12330
Missing cells0
Missing cells (%)0.0%
Duplicate rows125
Duplicate rows (%)1.0%
Total size in memory1.6 MiB
Average record size in memory134.0 B

Variable types

BOOL15
NUM14

Warnings

Dataset has 125 (1.0%) duplicate rows Duplicates
ExitRates is highly correlated with BounceRatesHigh correlation
BounceRates is highly correlated with ExitRatesHigh correlation
VisitorType_Returning_Visitor is highly correlated with VisitorType_New_VisitorHigh correlation
VisitorType_New_Visitor is highly correlated with VisitorType_Returning_VisitorHigh correlation
Administrative has 5768 (46.8%) zeros Zeros
Administrative_Duration has 5903 (47.9%) zeros Zeros
Informational has 9699 (78.7%) zeros Zeros
Informational_Duration has 9925 (80.5%) zeros Zeros
ProductRelated_Duration has 755 (6.1%) zeros Zeros
BounceRates has 5518 (44.8%) zeros Zeros
PageValues has 9600 (77.9%) zeros Zeros
SpecialDay has 11079 (89.9%) zeros Zeros

Reproduction

Analysis started2020-12-22 07:33:35.027798
Analysis finished2020-12-22 07:34:04.513238
Duration29.49 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

Administrative
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.315166261
Minimum0
Maximum27
Zeros5768
Zeros (%)46.8%
Memory size96.3 KiB
2020-12-22T15:34:04.587254image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile9
Maximum27
Range27
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.321784106
Coefficient of variation (CV)1.434792897
Kurtosis4.701146249
Mean2.315166261
Median Absolute Deviation (MAD)1
Skewness1.960357209
Sum28546
Variance11.03424965
MonotocityNot monotonic
2020-12-22T15:34:04.693348image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
0576846.8%
 
1135411.0%
 
211149.0%
 
39157.4%
 
47656.2%
 
55754.7%
 
64323.5%
 
73382.7%
 
82872.3%
 
92251.8%
 
Other values (17)5574.5%
 
ValueCountFrequency (%) 
0576846.8%
 
1135411.0%
 
211149.0%
 
39157.4%
 
47656.2%
 
ValueCountFrequency (%) 
271< 0.1%
 
261< 0.1%
 
244< 0.1%
 
233< 0.1%
 
224< 0.1%
 

Administrative_Duration
Real number (ℝ≥0)

ZEROS

Distinct3335
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.81861054
Minimum0
Maximum3398.75
Zeros5903
Zeros (%)47.9%
Memory size96.3 KiB
2020-12-22T15:34:04.810827image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.5
Q393.25625
95-th percentile348.2663691
Maximum3398.75
Range3398.75
Interquartile range (IQR)93.25625

Descriptive statistics

Standard deviation176.7791075
Coefficient of variation (CV)2.187356431
Kurtosis50.55673905
Mean80.81861054
Median Absolute Deviation (MAD)7.5
Skewness5.615719019
Sum996493.468
Variance31250.85284
MonotocityNot monotonic
2020-12-22T15:34:04.936315image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0590347.9%
 
4560.5%
 
5530.4%
 
7450.4%
 
11420.3%
 
6410.3%
 
14370.3%
 
9350.3%
 
15330.3%
 
10320.3%
 
Other values (3325)605349.1%
 
ValueCountFrequency (%) 
0590347.9%
 
1.3333333331< 0.1%
 
2150.1%
 
3260.2%
 
3.54< 0.1%
 
ValueCountFrequency (%) 
3398.751< 0.1%
 
2720.51< 0.1%
 
2657.3180561< 0.1%
 
2629.2539681< 0.1%
 
2407.423811< 0.1%
 

Informational
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.503568532
Minimum0
Maximum24
Zeros9699
Zeros (%)78.7%
Memory size96.3 KiB
2020-12-22T15:34:05.050731image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.270156426
Coefficient of variation (CV)2.522310957
Kurtosis26.93226626
Mean0.503568532
Median Absolute Deviation (MAD)0
Skewness4.03646376
Sum6209
Variance1.613297346
MonotocityNot monotonic
2020-12-22T15:34:05.144633image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
0969978.7%
 
110418.4%
 
27285.9%
 
33803.1%
 
42221.8%
 
5990.8%
 
6780.6%
 
7360.3%
 
9150.1%
 
8140.1%
 
Other values (7)180.1%
 
ValueCountFrequency (%) 
0969978.7%
 
110418.4%
 
27285.9%
 
33803.1%
 
42221.8%
 
ValueCountFrequency (%) 
241< 0.1%
 
161< 0.1%
 
142< 0.1%
 
131< 0.1%
 
125< 0.1%
 

Informational_Duration
Real number (ℝ≥0)

ZEROS

Distinct1258
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.47239793
Minimum0
Maximum2549.375
Zeros9925
Zeros (%)80.5%
Memory size96.3 KiB
2020-12-22T15:34:05.249620image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile195
Maximum2549.375
Range2549.375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation140.7492944
Coefficient of variation (CV)4.082956304
Kurtosis76.31685309
Mean34.47239793
Median Absolute Deviation (MAD)0
Skewness7.579184716
Sum425044.6664
Variance19810.36388
MonotocityNot monotonic
2020-12-22T15:34:05.373103image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0992580.5%
 
9330.3%
 
6260.2%
 
10260.2%
 
7260.2%
 
13230.2%
 
12230.2%
 
8220.2%
 
16220.2%
 
11210.2%
 
Other values (1248)218317.7%
 
ValueCountFrequency (%) 
0992580.5%
 
13< 0.1%
 
1.51< 0.1%
 
2110.1%
 
2.51< 0.1%
 
ValueCountFrequency (%) 
2549.3751< 0.1%
 
2256.9166671< 0.1%
 
2252.0333331< 0.1%
 
2195.31< 0.1%
 
2166.51< 0.1%
 

ProductRelated
Real number (ℝ≥0)

Distinct311
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.73146796
Minimum0
Maximum705
Zeros38
Zeros (%)0.3%
Memory size96.3 KiB
2020-12-22T15:34:05.496371image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median18
Q338
95-th percentile109
Maximum705
Range705
Interquartile range (IQR)31

Descriptive statistics

Standard deviation44.4755033
Coefficient of variation (CV)1.401621361
Kurtosis31.21170665
Mean31.73146796
Median Absolute Deviation (MAD)13
Skewness4.341516416
Sum391249
Variance1978.070394
MonotocityNot monotonic
2020-12-22T15:34:05.614134image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
16225.0%
 
24653.8%
 
34583.7%
 
44043.3%
 
63963.2%
 
73913.2%
 
53823.1%
 
83703.0%
 
103302.7%
 
93172.6%
 
Other values (301)819566.5%
 
ValueCountFrequency (%) 
0380.3%
 
16225.0%
 
24653.8%
 
34583.7%
 
44043.3%
 
ValueCountFrequency (%) 
7051< 0.1%
 
6861< 0.1%
 
5841< 0.1%
 
5341< 0.1%
 
5181< 0.1%
 

ProductRelated_Duration
Real number (ℝ≥0)

ZEROS

Distinct9551
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1194.74622
Minimum0
Maximum63973.52223
Zeros755
Zeros (%)6.1%
Memory size96.3 KiB
2020-12-22T15:34:05.742484image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1184.1375
median598.9369047
Q31464.157213
95-th percentile4300.289077
Maximum63973.52223
Range63973.52223
Interquartile range (IQR)1280.019713

Descriptive statistics

Standard deviation1913.669288
Coefficient of variation (CV)1.601737052
Kurtosis137.1741637
Mean1194.74622
Median Absolute Deviation (MAD)500.9369047
Skewness7.263227683
Sum14731220.89
Variance3662130.143
MonotocityNot monotonic
2020-12-22T15:34:05.855697image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07556.1%
 
17210.2%
 
8170.1%
 
11170.1%
 
15160.1%
 
19150.1%
 
22150.1%
 
12150.1%
 
7140.1%
 
13140.1%
 
Other values (9541)1143192.7%
 
ValueCountFrequency (%) 
07556.1%
 
0.51< 0.1%
 
12< 0.1%
 
2.3333333331< 0.1%
 
2.6666666671< 0.1%
 
ValueCountFrequency (%) 
63973.522231< 0.1%
 
43171.233381< 0.1%
 
29970.465971< 0.1%
 
27009.859431< 0.1%
 
24844.15621< 0.1%
 

BounceRates
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1872
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02219138047
Minimum0
Maximum0.2
Zeros5518
Zeros (%)44.8%
Memory size96.3 KiB
2020-12-22T15:34:05.984081image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0031124675
Q30.0168125585
95-th percentile0.2
Maximum0.2
Range0.2
Interquartile range (IQR)0.0168125585

Descriptive statistics

Standard deviation0.04848832181
Coefficient of variation (CV)2.185007006
Kurtosis7.723159431
Mean0.02219138047
Median Absolute Deviation (MAD)0.0031124675
Skewness2.947855267
Sum273.6197212
Variance0.002351117352
MonotocityNot monotonic
2020-12-22T15:34:06.113048image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0551844.8%
 
0.27005.7%
 
0.0666666671341.1%
 
0.0285714291150.9%
 
0.051130.9%
 
0.0333333331010.8%
 
0.0251000.8%
 
0.016666667990.8%
 
0.1980.8%
 
0.04960.8%
 
Other values (1862)525642.6%
 
ValueCountFrequency (%) 
0551844.8%
 
2.73e-051< 0.1%
 
3.35e-051< 0.1%
 
3.83e-051< 0.1%
 
3.94e-051< 0.1%
 
ValueCountFrequency (%) 
0.27005.7%
 
0.1833333331< 0.1%
 
0.185< 0.1%
 
0.1769230771< 0.1%
 
0.1751< 0.1%
 

ExitRates
Real number (ℝ≥0)

HIGH CORRELATION

Distinct4777
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04307279777
Minimum0
Maximum0.2
Zeros76
Zeros (%)0.6%
Memory size96.3 KiB
2020-12-22T15:34:06.250799image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004567568
Q10.014285714
median0.0251564025
Q30.05
95-th percentile0.2
Maximum0.2
Range0.2
Interquartile range (IQR)0.035714286

Descriptive statistics

Standard deviation0.04859654055
Coefficient of variation (CV)1.128242024
Kurtosis4.017034553
Mean0.04307279777
Median Absolute Deviation (MAD)0.0141725795
Skewness2.148789
Sum531.0875965
Variance0.002361623754
MonotocityNot monotonic
2020-12-22T15:34:06.378607image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.27105.8%
 
0.13382.7%
 
0.053292.7%
 
0.0333333332912.4%
 
0.0666666672672.2%
 
0.0252241.8%
 
0.042141.7%
 
0.0166666671811.5%
 
0.021671.4%
 
0.0222222221521.2%
 
Other values (4767)945776.7%
 
ValueCountFrequency (%) 
0760.6%
 
0.0001755931< 0.1%
 
0.0002504381< 0.1%
 
0.0002621231< 0.1%
 
0.0002631581< 0.1%
 
ValueCountFrequency (%) 
0.27105.8%
 
0.1923076921< 0.1%
 
0.1888888892< 0.1%
 
0.1866666674< 0.1%
 
0.1833333332< 0.1%
 

PageValues
Real number (ℝ≥0)

ZEROS

Distinct2704
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.889257863
Minimum0
Maximum361.7637419
Zeros9600
Zeros (%)77.9%
Memory size96.3 KiB
2020-12-22T15:34:06.516546image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38.16052828
Maximum361.7637419
Range361.7637419
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.56843661
Coefficient of variation (CV)3.152933195
Kurtosis65.63569361
Mean5.889257863
Median Absolute Deviation (MAD)0
Skewness6.382964249
Sum72614.54945
Variance344.7868381
MonotocityNot monotonic
2020-12-22T15:34:06.632729image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0960077.9%
 
53.9886< 0.1%
 
42.293067523< 0.1%
 
40.278152442< 0.1%
 
12.558857142< 0.1%
 
44.893459372< 0.1%
 
58.92417662< 0.1%
 
16.15855822< 0.1%
 
10.999018442< 0.1%
 
21.21126552< 0.1%
 
Other values (2694)270722.0%
 
ValueCountFrequency (%) 
0960077.9%
 
0.0380345421< 0.1%
 
0.0670495461< 0.1%
 
0.0935469491< 0.1%
 
0.0986214031< 0.1%
 
ValueCountFrequency (%) 
361.76374191< 0.1%
 
360.95338391< 0.1%
 
287.95379281< 0.1%
 
270.78469311< 0.1%
 
261.49128571< 0.1%
 

SpecialDay
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06142741281
Minimum0
Maximum1
Zeros11079
Zeros (%)89.9%
Memory size96.3 KiB
2020-12-22T15:34:06.750646image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.6
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1989172732
Coefficient of variation (CV)3.238249245
Kurtosis9.91365887
Mean0.06142741281
Median Absolute Deviation (MAD)0
Skewness3.302666747
Sum757.4
Variance0.03956808156
MonotocityNot monotonic
2020-12-22T15:34:06.836940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
01107989.9%
 
0.63512.8%
 
0.83252.6%
 
0.42432.0%
 
0.21781.4%
 
11541.2%
 
ValueCountFrequency (%) 
01107989.9%
 
0.21781.4%
 
0.42432.0%
 
0.63512.8%
 
0.83252.6%
 
ValueCountFrequency (%) 
11541.2%
 
0.83252.6%
 
0.63512.8%
 
0.42432.0%
 
0.21781.4%
 

OperatingSystems
Real number (ℝ≥0)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.124006488
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size96.3 KiB
2020-12-22T15:34:06.920801image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9113248287
Coefficient of variation (CV)0.4290593432
Kurtosis10.45684261
Mean2.124006488
Median Absolute Deviation (MAD)0
Skewness2.066285042
Sum26189
Variance0.8305129434
MonotocityNot monotonic
2020-12-22T15:34:07.004299image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
2660153.5%
 
1258521.0%
 
3255520.7%
 
44783.9%
 
8790.6%
 
6190.2%
 
770.1%
 
56< 0.1%
 
ValueCountFrequency (%) 
1258521.0%
 
2660153.5%
 
3255520.7%
 
44783.9%
 
56< 0.1%
 
ValueCountFrequency (%) 
8790.6%
 
770.1%
 
6190.2%
 
56< 0.1%
 
44783.9%
 

Browser
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.357096513
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size96.3 KiB
2020-12-22T15:34:07.092651image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile5
Maximum13
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.717276676
Coefficient of variation (CV)0.7285559443
Kurtosis12.74673269
Mean2.357096513
Median Absolute Deviation (MAD)0
Skewness3.242349611
Sum29063
Variance2.94903918
MonotocityNot monotonic
2020-12-22T15:34:07.190281image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
2796164.6%
 
1246220.0%
 
47366.0%
 
54673.8%
 
61741.4%
 
101631.3%
 
81351.1%
 
31050.9%
 
13610.5%
 
7490.4%
 
Other values (3)170.1%
 
ValueCountFrequency (%) 
1246220.0%
 
2796164.6%
 
31050.9%
 
47366.0%
 
54673.8%
 
ValueCountFrequency (%) 
13610.5%
 
12100.1%
 
116< 0.1%
 
101631.3%
 
91< 0.1%
 

Region
Real number (ℝ≥0)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.147364152
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size96.3 KiB
2020-12-22T15:34:07.279316image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.401591237
Coefficient of variation (CV)0.7630484178
Kurtosis-0.1486803001
Mean3.147364152
Median Absolute Deviation (MAD)2
Skewness0.9835491595
Sum38807
Variance5.767640468
MonotocityNot monotonic
2020-12-22T15:34:07.363889image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
1478038.8%
 
3240319.5%
 
411829.6%
 
211369.2%
 
68056.5%
 
77616.2%
 
95114.1%
 
84343.5%
 
53182.6%
 
ValueCountFrequency (%) 
1478038.8%
 
211369.2%
 
3240319.5%
 
411829.6%
 
53182.6%
 
ValueCountFrequency (%) 
95114.1%
 
84343.5%
 
77616.2%
 
68056.5%
 
53182.6%
 

TrafficType
Real number (ℝ≥0)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.069586375
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Memory size96.3 KiB
2020-12-22T15:34:07.464191image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile13
Maximum20
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.02516916
Coefficient of variation (CV)0.9890855703
Kurtosis3.479710597
Mean4.069586375
Median Absolute Deviation (MAD)1
Skewness1.962986732
Sum50178
Variance16.20198677
MonotocityNot monotonic
2020-12-22T15:34:07.562330image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
2391331.7%
 
1245119.9%
 
3205216.6%
 
410698.7%
 
137386.0%
 
104503.6%
 
64443.6%
 
83432.8%
 
52602.1%
 
112472.0%
 
Other values (10)3632.9%
 
ValueCountFrequency (%) 
1245119.9%
 
2391331.7%
 
3205216.6%
 
410698.7%
 
52602.1%
 
ValueCountFrequency (%) 
201981.6%
 
19170.1%
 
18100.1%
 
171< 0.1%
 
163< 0.1%
 

Weekend
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
False
9462 
True
2868 
ValueCountFrequency (%) 
False946276.7%
 
True286823.3%
 
2020-12-22T15:34:07.641885image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Revenue
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size96.3 KiB
0
10422 
1
1908 
ValueCountFrequency (%) 
01042284.5%
 
1190815.5%
 
2020-12-22T15:34:07.678879image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Aug
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
11897 
1
 
433
ValueCountFrequency (%) 
01189796.5%
 
14333.5%
 
2020-12-22T15:34:07.718045image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Dec
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
10603 
1
1727 
ValueCountFrequency (%) 
01060386.0%
 
1172714.0%
 
2020-12-22T15:34:07.753941image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Feb
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
12146 
1
 
184
ValueCountFrequency (%) 
01214698.5%
 
11841.5%
 
2020-12-22T15:34:07.801631image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Jul
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
11898 
1
 
432
ValueCountFrequency (%) 
01189896.5%
 
14323.5%
 
2020-12-22T15:34:07.847999image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_June
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
12042 
1
 
288
ValueCountFrequency (%) 
01204297.7%
 
12882.3%
 
2020-12-22T15:34:07.884707image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Mar
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
10423 
1
1907 
ValueCountFrequency (%) 
01042384.5%
 
1190715.5%
 
2020-12-22T15:34:07.918288image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_May
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
8966 
1
3364 
ValueCountFrequency (%) 
0896672.7%
 
1336427.3%
 
2020-12-22T15:34:07.955292image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Nov
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
9332 
1
2998 
ValueCountFrequency (%) 
0933275.7%
 
1299824.3%
 
2020-12-22T15:34:07.989579image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Oct
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
11781 
1
 
549
ValueCountFrequency (%) 
01178195.5%
 
15494.5%
 
2020-12-22T15:34:08.026541image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Month_Sep
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
11882 
1
 
448
ValueCountFrequency (%) 
01188296.4%
 
14483.6%
 
2020-12-22T15:34:08.062712image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

VisitorType_New_Visitor
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
10636 
1
1694 
ValueCountFrequency (%) 
01063686.3%
 
1169413.7%
 
2020-12-22T15:34:08.097504image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
0
12245 
1
 
85
ValueCountFrequency (%) 
01224599.3%
 
1850.7%
 
2020-12-22T15:34:08.131669image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

VisitorType_Returning_Visitor
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
1
10551 
0
1779 
ValueCountFrequency (%) 
11055185.6%
 
0177914.4%
 
2020-12-22T15:34:08.165594image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Interactions

2020-12-22T15:33:39.261952image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:39.406646image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:39.533494image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:39.652151image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:39.762711image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:39.872202image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:39.976995image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.085172image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.195273image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.300159image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.401544image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.520148image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.643512image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.753169image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.859670image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:40.975288image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.107605image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.240958image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.365052image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.498286image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.615936image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.835964image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:41.965358image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.076881image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.184931image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.301149image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.416569image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.533229image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.645936image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.741033image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.844190image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:42.939809image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.037163image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.142769image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.245492image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.354455image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.464674image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.567279image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.663204image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.764647image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.860531image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:43.962954image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.065411image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.169627image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.274754image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.369700image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.471542image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.575034image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.674695image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.780504image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:44.907486image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.029789image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.134253image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.251495image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.486003image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.637956image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.755266image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:45.868872image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.004578image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.118628image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.229994image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.348443image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.465949image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.601185image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.733484image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.858726image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:46.982357image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.118814image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.237195image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.364981image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.495716image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.640825image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.769117image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:47.900451image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.061310image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.221144image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.389702image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.574236image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.715353image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.839206image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:48.949507image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.065596image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.185190image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.309236image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.434670image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.562729image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.719027image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.832255image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:49.973560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:50.156046image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:50.283582image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:50.405598image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:50.527977image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:50.788226image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:50.916436image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.030881image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.143281image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.260523image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.379460image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.495967image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.614403image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.722902image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.834645image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:51.949892image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.063155image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.186673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.303465image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.417280image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.529962image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.644836image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.752653image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.866271image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:52.981671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.087129image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.201749image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.303635image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.406230image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.520006image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.631987image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.744428image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.854280image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:53.961913image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.065990image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.181539image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.287492image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.397324image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.510952image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.607512image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.712119image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.810366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:54.909771image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.011852image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.122658image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.232464image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.338479image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.442373image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.539933image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.643313image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.740090image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.845366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:55.947079image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.229687image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.360702image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.467833image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.573470image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.682673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.790533image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:56.904394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.017276image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.130152image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.236126image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.344175image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.450838image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.564216image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.676518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.796427image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:57.949844image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.090031image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.233373image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.367596image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.491111image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.614485image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.772309image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:58.941220image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.079982image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.208046image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.323908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.451819image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.566545image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.678141image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.800356image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:33:59.916077image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.050495image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.183965image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.320877image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.465184image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.611530image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.750618image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.865362image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:00.980944image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.093922image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.207109image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.320502image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.436790image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.553674image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.660068image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.770338image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.881706image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:01.993385image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.117646image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.234396image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.345142image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.455072image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.567046image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.671834image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:02.782208image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Correlations

2020-12-22T15:34:08.262267image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-12-22T15:34:08.586293image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-12-22T15:34:08.915344image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-12-22T15:34:09.247762image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-12-22T15:34:03.061374image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-22T15:34:04.260224image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Sample

First rows

AdministrativeAdministrative_DurationInformationalInformational_DurationProductRelatedProductRelated_DurationBounceRatesExitRatesPageValuesSpecialDayOperatingSystemsBrowserRegionTrafficTypeWeekendRevenueMonth_AugMonth_DecMonth_FebMonth_JulMonth_JuneMonth_MarMonth_MayMonth_NovMonth_OctMonth_SepVisitorType_New_VisitorVisitorType_OtherVisitorType_Returning_Visitor
000.000.010.0000000.2000000.2000000.00.01111False00010000000001
100.000.0264.0000000.0000000.1000000.00.02212False00010000000001
200.000.010.0000000.2000000.2000000.00.04193False00010000000001
300.000.022.6666670.0500000.1400000.00.03224False00010000000001
400.000.010627.5000000.0200000.0500000.00.03314True00010000000001
500.000.019154.2166670.0157890.0245610.00.02213False00010000000001
600.000.010.0000000.2000000.2000000.00.42433False00010000000001
710.000.000.0000000.2000000.2000000.00.01215True00010000000001
800.000.0237.0000000.0000000.1000000.00.82223False00010000000001
900.000.03738.0000000.0000000.0222220.00.42412False00010000000001

Last rows

AdministrativeAdministrative_DurationInformationalInformational_DurationProductRelatedProductRelated_DurationBounceRatesExitRatesPageValuesSpecialDayOperatingSystemsBrowserRegionTrafficTypeWeekendRevenueMonth_AugMonth_DecMonth_FebMonth_JulMonth_JuneMonth_MarMonth_MayMonth_NovMonth_OctMonth_SepVisitorType_New_VisitorVisitorType_OtherVisitorType_Returning_Visitor
1232000.0000.08143.5833330.0142860.0500000.0000000.02231False00000000100001
1232100.0000.060.0000000.2000000.2000000.0000000.01841False00000000100001
12322676.2500.0221075.2500000.0000000.0041670.0000000.02242False00100000000001
12323264.7500.0441157.9761900.0000000.0139530.0000000.022110False00000000100001
1232400.0010.016503.0000000.0000000.0376470.0000000.02211False00000000100001
123253145.0000.0531783.7916670.0071430.02903112.2417170.04611True00100000000001
1232600.0000.05465.7500000.0000000.0213330.0000000.03218True00000000100001
1232700.0000.06184.2500000.0833330.0866670.0000000.032113True00000000100001
12328475.0000.015346.0000000.0000000.0210530.0000000.022311False00000000100001
1232900.0000.0321.2500000.0000000.0666670.0000000.03212True00000000100100

Duplicate rows

Most frequent

AdministrativeAdministrative_DurationInformationalInformational_DurationProductRelatedProductRelated_DurationBounceRatesExitRatesPageValuesSpecialDayOperatingSystemsBrowserRegionTrafficTypeWeekendRevenueMonth_AugMonth_DecMonth_FebMonth_JulMonth_JuneMonth_MarMonth_MayMonth_NovMonth_OctMonth_SepVisitorType_New_VisitorVisitorType_OtherVisitorType_Returning_Visitorcount
2400.000.010.00.20.20.00.02211False0000001000000114
2700.000.010.00.20.20.00.02213False000000010000017
5600.000.010.00.20.20.00.03231False000000100000017
300.000.010.00.20.20.00.01113False000000010000016
6800.000.010.00.20.20.00.0813920False001000000000105
1800.000.010.00.20.20.00.01143False000000010000014
2200.000.010.00.20.20.00.02211False000000001000014
5200.000.010.00.20.20.00.03211False000000100000014
100.000.010.00.20.20.00.01111True001000000000013
1200.000.010.00.20.20.00.01133False000000010000013